Examples with FilePath com.alibaba.alink.common.io.filesystem.FilePath used on opensource projects

Example 31 with FilePath

use of com.alibaba.alink.common.io.filesystem.FilePath in project Alink by alibaba.

the class PipelineSaveAndLoadTest method test.

@Test
public void test() throws Exception {
    String schemaStr = "sepal_length double, sepal_width double, petal_length double, petal_width double, category string";
    CsvSourceBatchOp source = new CsvSourceBatchOp().setSchemaStr(schemaStr).setFilePath("https://alink-test-data.oss-cn-hangzhou.aliyuncs.com/iris.csv");
    String modelFilename = "/tmp/model123";
    QuantileDiscretizer stage1 = new QuantileDiscretizer().setNumBuckets(2).setSelectedCols("sepal_length");
    Binarizer stage2 = new Binarizer().setSelectedCol("petal_width").setThreshold(1.);
    QuantileDiscretizer stage3 = new QuantileDiscretizer().setNumBuckets(4).setSelectedCols("petal_length");
    PipelineModel pipelineModel = new Pipeline(stage1, stage2, stage3).fit(source);
    // System.out.println(pipelineModel.transform(source).getSchema().toString());
    pipelineModel.save(new FilePath(modelFilename), true);
    BatchOperator.execute();
    LocalPredictor predictor = new LocalPredictor(modelFilename, schemaStr);
    Row res = predictor.map(Row.of(1.2, 3.4, 2.4, 3.6, "1"));
    Assert.assertEquals(res.getArity(), 5);
}

Example 32 with FilePath

use of com.alibaba.alink.common.io.filesystem.FilePath in project Alink by alibaba.

the class AkExample method main.

public static void main(String[] args) throws Exception {
    String URL = "https://alink-release.oss-cn-beijing.aliyuncs.com/data-files/iris.csv";
    String SCHEMA_STR = "sepal_length double, sepal_width double, petal_length double, petal_width double, category string";
    // Note: Complete the parameter below with the right oss configure.
    BaseFileSystem<?> ossFileSystem = new OssFileSystem("OssVersion", "OssEndPoint", "OssBucket", "OssId", "OssKey");
    // Note: Complete the parameter below with the right hdfs configure.
    BaseFileSystem<?> hadoopFileSystem = new HadoopFileSystem("HadoopVersion", "HdfsFileSystemUri");
    // csv to oss
    CsvSourceBatchOp csvSourceBatchOp = new CsvSourceBatchOp().setFilePath(URL).setSchemaStr(SCHEMA_STR);
    AkSinkBatchOp akSinkToOss = new AkSinkBatchOp().setFilePath(new FilePath("iris", ossFileSystem)).setOverwriteSink(true);
    csvSourceBatchOp.link(akSinkToOss);
    BatchOperator.execute();
    // oss to hdfs
    AkSourceBatchOp akSourceFromOss = new AkSourceBatchOp().setFilePath(new FilePath("iris", ossFileSystem));
    AkSinkBatchOp akSinkToHdfs = new AkSinkBatchOp().setFilePath(new FilePath("iris", hadoopFileSystem)).setOverwriteSink(true);
    akSourceFromOss.link(akSinkToHdfs);
    BatchOperator.execute();
    // hdfs to stdout
    AkSourceBatchOp akSourceFromHdfs = new AkSourceBatchOp().setFilePath(new FilePath("iris", hadoopFileSystem));
    akSourceFromHdfs.firstN(10).print();
}

Example 33 with FilePath

use of com.alibaba.alink.common.io.filesystem.FilePath in project Alink by alibaba.

the class DeepARTrainBatchOpTest method testSingleVar.

@Test
public void testSingleVar() throws Exception {
    BatchOperator.setParallelism(1);
    final String timeColName = "ts";
    BatchOperator<?> source = new RandomTableSourceBatchOp().setNumRows(1000L).setNumCols(1);
    String colName = source.getColNames()[0];
    AppendIdBatchOp appendIdBatchOp = new AppendIdBatchOp().setIdCol(timeColName).linkFrom(source);
    BatchOperator<?> timeBatchOp = new SelectBatchOp().setClause(String.format("%s, FLOOR(TO_TIMESTAMP(%s * 3600000) TO HOUR) as %s", colName, timeColName, timeColName)).linkFrom(appendIdBatchOp);
    StringBuilder groupByPredicate = new StringBuilder();
    String selectClause = timeColName + String.format(", SUM(%s) as %s", colName, colName);
    groupByPredicate.append(timeColName);
    BatchOperator<?> groupedTimeBatchOp = new GroupByBatchOp().setSelectClause(selectClause).setGroupByPredicate(groupByPredicate.toString()).linkFrom(timeBatchOp);
    BatchOperator<?> deepArTrainBatchOp = new DeepARTrainBatchOp().setSelectedCol(colName).setTimeCol(timeColName).setWindow(24 * 7).setStride(24).setNumEpochs(1).linkFrom(groupedTimeBatchOp);
    StreamOperator<?> sourceStreamOp = new RandomTableSourceStreamOp().setNumCols(1).setMaxRows(1000L);
    AppendIdStreamOp appendIdStreamOp = new AppendIdStreamOp().setIdCol(timeColName).linkFrom(sourceStreamOp);
    StreamOperator<?> timeStreamOp = new SelectStreamOp().setClause(String.format("%s, FLOOR(TO_TIMESTAMP(%s * 3600000) TO HOUR) as %s", colName, timeColName, timeColName)).linkFrom(appendIdStreamOp);
    String selectClausePred = String.format("TUMBLE_START() as %s", timeColName) + String.format(", SUM(%s) as %s", colName, colName);
    TumbleTimeWindowStreamOp timeWindowStreamOp = new TumbleTimeWindowStreamOp().setWindowTime(3600).setTimeCol(timeColName).setClause(selectClausePred).linkFrom(timeStreamOp);
    HopTimeWindowStreamOp hopTimeWindowStreamOp = new HopTimeWindowStreamOp().setTimeCol(timeColName).setClause(String.format("MTABLE_AGG(%s, %s) as %s", timeColName, colName, "mt")).setHopTime(24 * 3600).setWindowTime((24 * 7 - 24) * 3600).linkFrom(timeWindowStreamOp);
    DeepARPredictStreamOp deepARPredictStreamOp = new DeepARPredictStreamOp(deepArTrainBatchOp).setValueCol("mt").setPredictionCol("pred").setPredictNum(24).linkFrom(hopTimeWindowStreamOp);
    FilePath tmpAkFile = new FilePath(new Path(folder.getRoot().getPath(), "deepar_test_stream_single_var_result.ak"));
    deepARPredictStreamOp.link(new AkSinkStreamOp().setOverwriteSink(true).setFilePath(tmpAkFile));
    StreamOperator.execute();
}

Example 34 with FilePath

use of com.alibaba.alink.common.io.filesystem.FilePath in project Alink by alibaba.

the class DeepARTrainBatchOpTest method testMultiVar.

@Test
public void testMultiVar() throws Exception {
    BatchOperator.setParallelism(1);
    final String timeColName = "ts";
    final int numCols = 10;
    final String vecColName = "vec";
    BatchOperator<?> source = new RandomTableSourceBatchOp().setNumRows(1000L).setNumCols(numCols);
    String[] colNames = source.getColNames();
    AppendIdBatchOp appendIdBatchOp = new AppendIdBatchOp().setIdCol(timeColName).linkFrom(source);
    BatchOperator<?> timeBatchOp = new SelectBatchOp().setClause(String.format("%s, FLOOR(TO_TIMESTAMP(%s * 3600000) TO HOUR) as %s", Joiner.on(",").join(colNames), timeColName, timeColName)).linkFrom(appendIdBatchOp);
    StringBuilder selectClause = new StringBuilder();
    StringBuilder groupByPredicate = new StringBuilder();
    selectClause.append(timeColName);
    for (int i = 0; i < numCols; ++i) {
        selectClause.append(", ");
        selectClause.append(String.format("SUM(%s) as %s", colNames[i], colNames[i]));
    }
    groupByPredicate.append(timeColName);
    BatchOperator<?> groupedTimeBatchOp = new GroupByBatchOp().setSelectClause(selectClause.toString()).setGroupByPredicate(groupByPredicate.toString()).linkFrom(timeBatchOp);
    ColumnsToVectorBatchOp columnsToVectorBatchOp = new ColumnsToVectorBatchOp().setSelectedCols(colNames).setVectorCol(vecColName).linkFrom(groupedTimeBatchOp);
    BatchOperator<?> deepArTrainBatchOp = new DeepARTrainBatchOp().setVectorCol(vecColName).setTimeCol(timeColName).setWindow(24 * 7).setStride(24).setNumEpochs(1).linkFrom(columnsToVectorBatchOp);
    StreamOperator<?> sourceStreamOp = new RandomTableSourceStreamOp().setNumCols(numCols).setMaxRows(1000L);
    AppendIdStreamOp appendIdStreamOp = new AppendIdStreamOp().setIdCol(timeColName).linkFrom(sourceStreamOp);
    StreamOperator<?> timeStreamOp = new SelectStreamOp().setClause(String.format("%s, FLOOR(TO_TIMESTAMP(%s * 3600000) TO HOUR) as %s", Joiner.on(",").join(colNames), timeColName, timeColName)).linkFrom(appendIdStreamOp);
    StringBuilder selectClausePred = new StringBuilder();
    selectClausePred.append(String.format("TUMBLE_START() as %s", timeColName));
    for (int i = 0; i < numCols; ++i) {
        selectClausePred.append(", ");
        selectClausePred.append(String.format("SUM(%s) as %s", colNames[i], colNames[i]));
    }
    TumbleTimeWindowStreamOp timeWindowStreamOp = new TumbleTimeWindowStreamOp().setWindowTime(3600).setTimeCol(timeColName).setClause(selectClausePred.toString()).linkFrom(timeStreamOp);
    ColumnsToVectorStreamOp columnsToVectorStreamOp = new ColumnsToVectorStreamOp().setSelectedCols(colNames).setVectorCol(vecColName).linkFrom(timeWindowStreamOp);
    HopTimeWindowStreamOp hopTimeWindowStreamOp = new HopTimeWindowStreamOp().setTimeCol(timeColName).setClause(String.format("MTABLE_AGG(%s, %s) as %s", timeColName, vecColName, "mt")).setHopTime(24 * 3600).setWindowTime((24 * 7 - 24) * 3600).linkFrom(columnsToVectorStreamOp);
    DeepARPredictStreamOp deepARPredictStreamOp = new DeepARPredictStreamOp(deepArTrainBatchOp).setValueCol("mt").setPredictionCol("pred").linkFrom(hopTimeWindowStreamOp);
    FilePath tmpAkFile = new FilePath(new Path(folder.getRoot().getPath(), "deepar_test_stream_multi_var_result.ak"));
    deepARPredictStreamOp.link(new AkSinkStreamOp().setOverwriteSink(true).setFilePath(tmpAkFile));
    StreamOperator.execute();
}

Example 35 with FilePath

use of com.alibaba.alink.common.io.filesystem.FilePath in project Alink by alibaba.

the class LSTNetTrainBatchOpTest method testStreamSingleVar.

@Test
public void testStreamSingleVar() throws Exception {
    BatchOperator.setParallelism(1);
    final int numCols = 1;
    final String timeColName = "ts";
    BatchOperator<?> source = new RandomTableSourceBatchOp().setNumRows(1000L).setNumCols(numCols);
    String colName = source.getColNames()[0];
    final String selectClause = "TO_TIMESTAMP(" + timeColName + ") as " + timeColName + ", " + colName;
    AppendIdBatchOp appendIdBatchOp = new AppendIdBatchOp().setIdCol(timeColName).linkFrom(source);
    BatchOperator<?> timeBatchOp = new SelectBatchOp().setClause(selectClause).linkFrom(appendIdBatchOp);
    LSTNetTrainBatchOp trainOp = new LSTNetTrainBatchOp().setSelectedCol(colName).setTimeCol(timeColName).setWindow(24 * 7).setHorizon(12).setNumEpochs(1).linkFrom(timeBatchOp);
    StreamOperator<?> sourceStreamOp = new RandomTableSourceStreamOp().setNumCols(numCols).setMaxRows(6000L);
    AppendIdStreamOp appendIdStreamOp = new AppendIdStreamOp().setIdCol(timeColName).linkFrom(sourceStreamOp);
    StreamOperator<?> timestampStreamOp = new SelectStreamOp().setClause(selectClause).linkFrom(appendIdStreamOp);
    OverCountWindowStreamOp overTimeWindowStreamOp = new OverCountWindowStreamOp().setClause("MTABLE_AGG_PRECEDING(" + timeColName + ", " + colName + ") as col_agg").setTimeCol(timeColName).setPrecedingRows(24 * 7).linkFrom(timestampStreamOp);
    LSTNetPredictStreamOp predictStreamOp = new LSTNetPredictStreamOp(trainOp).setValueCol("col_agg").setPredictionCol("pred").setReservedCols(timeColName).setNumThreads(4).linkFrom(overTimeWindowStreamOp);
    FilePath tmpAkFile = new FilePath(new Path(folder.getRoot().getPath(), "lstnet_test_stream_single_var_result.ak"));
    predictStreamOp.link(new AkSinkStreamOp().setOverwriteSink(true).setFilePath(tmpAkFile));
    StreamOperator.execute();
}